MRAS based Speed Sensorless Indirect Vector Control of Induction Motor Drive for Electric Vehicles

被引：0

作者：

Rind, Saqib ^{[1
]}

Ren, Yaxing ^{[1
]}

Jiang, Lin ^{[1
]}

机构：

[1] Univ Liverpool, Dept Elect & Elect Engn, Liverpool L69 3BX, Merseyside, England

来源：

2014 49TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC) | 2014年

关键词：

EV Dynamics; EV Traction Drive; Induction Motor Drive; MRAS Observer; Speed Sensorless Control;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The aim of this paper is to investigate the performance of speed sensorless indirect vector control of IM traction drive and tracking accuracy of speed estimator employed on different driving profiles of EVs such as accelerating, constant speed and decelerating mode etc. Dynamic model of EV and IM are presented first in order to understand the required tractive force for the propulsion and behavior of the motor for transient analysis respectively. Rotor flux based Model Reference Adaptive System (MRAS) speed estimator is designed and implemented on sensorless indirect vector controlled traction drive. Simulation results show the satisfactory performance of speed regulation with the proposed speed sensorless control under different driving profiles. Rotor flux based MRAS speed estimator is implemented in indirect vector control of IM to get the effective and reliable solution for the speed estimation in sensorless traction drive.

引用

页数：6

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